• Building scalable services in Go for generative AI applications, working closely with ML/AI engineers.

• Greenfield project: Designing and architecting systems from the ground.

• Real-time inference: Optimizing performance for low-latency AI workloads.

• Microservices & distributed systems: Ensuring scalability and reliability.

• Cross-functional collaboration: Bridging software engineering and AI research.

• Infrastructure & deployment: Leveraging cloud-native technologies for efficient model serving.

• Successfully lead multiple different projects of varying complexity.

• Reduced logging of our application from ~1Tb per day to 90Gb per day. Saving us $1000's a month in AWS and monitoring costs.

• Implemented Elasticsearch for full text search across millions of documents with sub 100ms response times. Ingestion is also "real time". Prior search experiences was taking on average 3seconds.

• Optimized many PostgreSQL queries, by improving indexing, analyzing index usage, as well as query structure. An example of this is a query that was taking a minute to run on production was reduced to sub 1s by my efforts.

• Go to person for query optimization and endpoint performance optimization.

• Implemented the most requested feature for Scribe, which is the changing of the click target color.

• Implemented feature flagging using an external vendor. This made deployment of new code substantially less risky and unlocked the ability to do A/B testing organization wide.

• Conducted dozens of interviews for new candidates (backend and technical walk through)

• Developed a mission critical service that generated package lables for different carriers, and get asynchronous updates, and push them out to users. Example: "hey your package is on the way" text message/email.

• Worked on redeveloping API layer

• Interviewed Developers

Full Stack Developer

Python3, Django 2.2, Celery, MySQL, JS / React, AWS

• Co-developed the checkout experience. All customers go through this React / Python single page app in order to start a subscription.

• Lead migration of email service providers to Braze. Ported over millions of user profiles using Go-lang. Created API integration which keeps user profiles in sync with Braze. (Python, Go)

• Refactored backend Stripe integration which handles online payments. Integration handles 100% of payments and refunds.

• Architected and implemented a feature that allows users to customize the contents of their box based on inventory, dietary restriction, other user preferences and operational constraints.

• Developed an internal tool for fulfillment center employees that both shows what needs to be packed into the box and creates a printable list of products and recipes ideas for customers that are packed into every box shipped. (Python Django)

• Wrote a feature where a customer who experiences damaged or missing item can be given credit without the need of a customer care representative. (React, Python)

• Created user pages where customers can leave reviews, change delivery preferences, and view more information about products.

• Added infrastructure monitoring and logging with DataDog. Allows other developers to debug, monitor performance and receive alerts from the production environment.

• Added Cloudfront CDN so all static assets are served faster to end users while significantly reducing requests to our web servers.

• Worked with Product and Design to establish a variety of A/B and multivariate tests aimed at improving user experience for customers and increasing acquisition and retention targets.